18 results about "Vertical seismic profile" patented technology

The application discloses a kind of vertical seismic profile up-and-down wave intelligent separation methods based on data driving, comprising the following steps: S1: collection well logging data, including velocity information and density information;S2: establish formation model and define seismic observation system, then based on vertical seismic profile wave field propagation equation numerical simulation, obtain simulated up-and-down wave data, and combined to obtain simulated total wave field data;S3: establish the neural network of multi-task learning, according to the data obtained in step S2 the neural network is trained, and obtains regression model;S4: carry out feasibility test, when the result is not up to standard, adjust training sample and optimize network parameter, return step S3 and retrain;When the result is up to standard, the regression model obtained in step S3 is used as the final separation model, and the target vertical seismic profile data is separated into up-and-down wave using it.The application can more intelligently, efficiently and accurately separate the up-and-down wave of vertical seismic profile data.

The invention discloses a gas reservoir three-dimensional geological modeling method and system and a medium. The method comprises the following steps: acquiring multi-source data of a target work area; in combination with vertical seismic section data and virtual well data, depth correction is performed on the horizon after time-depth conversion, and a three-dimensional tectonic framework model is established based on the corrected horizon and fault data; fusing and generating a sand body space development probability trend body based on the seismic attribute body, the seismic inversion body and the determined optimal weight coefficients of the seismic attribute body and the seismic inversion body; a three-dimensional tectonic framework model is used as a space framework, a sand body space development probability trend body is used as a transverse soft constraint, a plurality of isoprobable lithofacies model initial implementation is established, and a three-dimensional lithofacies model is obtained; a three-dimensional distribution model of reservoir physical property parameters is generated; and importing the three-dimensional lithofacies model and the three-dimensional distribution model into a numerical simulator, performing historical fitting by using gas reservoir dynamic production data, analyzing fitting differences, and performing iterative modeling to obtain a high-precision and low-uncertainty three-dimensional gas reservoir geologic model.

The invention discloses an average velocity body construction method and device, electronic equipment and a storage medium. The method comprises the following steps: determining seismic data of a target area and vertical seismic section time-depth data of each target drilling well; based on the seismic data of the target area, generating a first seismic average velocity body corresponding to the target area; determining a first time-depth relationship of each target drilling well; based on the vertical seismic profile time-depth data of each target drilling well, adjusting the first time-depth relationship of each target drilling well to obtain a second time-depth relationship; generating a second earthquake average velocity body according to the second time-depth relationship; and determining at least one target error value according to the first seismic average velocity body and the second seismic average velocity body, and adjusting the first seismic average velocity body to obtain a target seismic average velocity body of the target area. According to the technical scheme, the precision of the seismic average velocity body corresponding to the region can be improved.

The invention discloses a biased VSP missing data reconstruction method and device based on 2D FFT, electronic equipment and a medium. The method may include: sorting biased VSP data into a plurality of common geophone gathers; constructing a sparse sampling operator for the common detection point gather; and obtaining missing data aiming at the data reconstructed through common detection point gather iteration. The method is suitable for missing data reconstruction of the biased vertical seismic section, data can be effectively complemented, and the influence of insufficient underground illumination caused by the missing data is relieved.

The invention discloses a three-dimensional VSP and ground seismic joint migration method, system and device and a storage medium, and relates to the technical field of seismic exploration, and the method comprises the steps: obtaining vertical seismic section data and ground seismic data, and obtaining a preprocessed data body; performing isotropic migration velocity modeling on the two sets of data volumes to obtain respective imaging gathers and migration profiles; performing unification processing on the imaging reference surfaces of the two sets of data volumes to obtain a processed imaging gather; performing well-ground joint migration on the processed imaging gather to obtain a well-ground joint OVT domain imaging gather; and azimuth anisotropy correction of travel time is carried out on the well-ground combined OVT domain imaging gathers, superposition processing is carried out on the corrected imaging gathers, and finally a well-ground combined migration imaging profile is obtained. According to the invention, effective fusion and high-precision imaging of well-ground data are realized, and the imaging precision of seismic data and the success rate of oil-gas exploration are improved.

Systems and methods for determining a calibrated vertical seismic profile (VSP) using a distributed acoustic sensing (DAS) system in a borehole are presented. The method includes obtaining a density log and an acoustic slowness log of the borehole (108); determining a first impedance from the density logging curve and the acoustic slowness logging curve, i.e., a DAS impedance (DIL) curve from the logging curve; obtaining a VSP data set in the borehole (108); for each of the plurality of gauge lengths, a second impedance, i.e. A DAS (DIV) curve from vibration, is determined from the VSP dataset of the plurality of gauge lengths, and a fit between the DIV curve and the DIL curve is determined by using a mismatch functional for each of the plurality of depth adjustments. The method also includes determining a calibrated VSP by applying the preferred depth adjustment to the VSP dataset.

The invention discloses a vertical seismic section data denoising method and device, and the method comprises the steps: carrying out the forward modeling of an elastic wave wave equation through employing a plurality of forward modeling geologic models and different forward modeling simulation parameters, generating different types of synthetic vertical seismic section data sets, extracting different types of noises, and constructing a training data set; adopting the training data set to train the vertical seismic profile data denoising model; after actual vertical seismic section data is obtained, inputting the trained vertical seismic section data denoising model to obtain denoised vertical seismic section data; the vertical seismic profile data denoising model comprises a convolution layer used for carrying out feature extraction on a training data set; the self-adaptive feature weight distribution module is used for carrying out self-adaptive weight correction on the extracted features; the down-sampling module is used for down-sampling the features after weight correction; the up-sampling module is used for carrying out noise suppression on the down-sampling features of different sizes. The method is good in noise suppression effect and high in denoising precision.

In the field of seismic data collection and analysis, the problem of data compression is considered. It is desired to reduce the storage and transmission requirements of seismic data, such as associated with microseismic monitoring and processing, VSP (vertical seismic profile) surveys, and the like, for instance using a distributed acoustic sensor (DAS), which can generate in excess of 50 GB of data per hour on a survey that lasts days. A method and system for data compression that separates the data collected into additive signal and noise components, and compresses the estimated signal component for transmission, storage, and analysis, is described. The idea is that the signal component, which exhibits clear structure across the traces, may be accurately described with relatively few parameters, and therefore may be significantly compressed without loss of important information.

The invention discloses a dynamic and static combined migration monitoring and safety early warning method and device and a storage medium, and relates to the technical field of oil and gas field development and engineering monitoring. The method comprises the following steps: constructing a static geological model based on three-dimensional seismic exploration data and non-seismic geophysical data, and performing multi-dimensional analysis on the static geological model to obtain geological risk factors; based on the vertical seismic profile data and the microseismic data of the time-shifted well, constructing a dynamic geologic model, and performing multi-dimensional analysis on the dynamic geologic model to obtain dynamic parameters; the static geologic model and the dynamic geologic model are fused and subjected to joint inversion, and a migration path model is generated to predict the migration direction; and setting a comprehensive early warning threshold value, and triggering graded early warning when the dynamic parameters exceed the comprehensive early warning threshold value. According to the invention, accurate prediction of the migration path and active early warning of storage safety are realized.

The application discloses a seismic wave quality factor Q value inversion method, which comprises the following steps: obtaining target well vertical seismic profile VSP seismic data, picking up downgoing wave first arrival time, extracting downgoing wave field data through wave field separation; determining an analysis time window of each depth sampling point according to the first arrival time, intercepting a corresponding amplitude sequence, and then obtaining dynamic seismic wave length and total seismic wave energy of each depth point; calculating Q values of adjacent depth sections based on a depth interval of adjacent depth sampling points, a dynamic wavelength of an upstream depth point and total energy of the two points, and constructing a target formation Q value inversion model. The application breaks through the limitation of the fixed wavelength assumption, greatly improves the stability and precision of Q value inversion of complex formations, and adapts to deep reservoir exploration requirements.

The embodiment of the invention discloses a well-ground combined mining seismic data combined imaging method, device and equipment and a medium. The method comprises the following steps: constructing a scattering model for a to-be-imaged block, and performing forward modeling on the scattering model to obtain a corresponding seismic record; the scattering model is a model used for simulating the geology of a to-be-imaged block; performing imaging processing on the seismic record to determine a sensitivity compensation function, and determining a target functional according to the sensitivity compensation function; processing the vertical seismic profile seismic data of the to-be-imaged block to obtain a first reflected wave, and processing the ground seismic data of the to-be-imaged block to obtain a second reflected wave; and performing joint imaging on the to-be-imaged block according to the sensitivity compensation function, the target functional, the first reflected wave and the second reflected wave. By adopting the technical scheme provided by the embodiment of the invention, the problems of non-uniformity of coverage times and non-uniformity of incident angles during combined imaging are solved, so that the imaging quality of a geological structure is improved.

The invention provides a rock stratum velocity model establishing method and device, electronic equipment, a medium and a product. The method comprises the following steps: acquiring the root mean square amplitude of each first test position in a target rock stratum; obtaining the measured vertical seismic section speed and acoustic logging speed of each first test position; according to the root-mean-square amplitude of each first test position and the vertical seismic profile velocity and acoustic logging velocity of each first test position, obtaining a characteristic relationship between the root-mean-square amplitude and the rock stratum velocity; based on the characteristic relation, according to the root mean square amplitude of each second test position of the target rock stratum, obtaining the rock stratum velocity; and establishing a rock stratum velocity model of the target rock stratum according to the rock stratum velocity. According to the scheme, the accuracy of the rock stratum velocity modeling result can be improved.

The invention discloses a wave field imaging method and device, electronic equipment and a readable storage medium, and belongs to the technical field of geological exploration. The method comprises the following steps: acquiring ground seismic data and vertical seismic profile data; correcting the reference surface parameter of the ground seismic data and the reference surface parameter of the vertical seismic section data to obtain a target reference surface parameter; acquiring first coordinate data of a plurality of target detection points and second coordinate data of a plurality of target seismic sources based on the target reference plane parameters; and determining target wave field imaging of the geological section according to the multiple pieces of first coordinate data, the multiple pieces of second coordinate data, the ground seismic data and the vertical seismic section data. The target wave field imaging has the characteristics of uniform imaging, large imaging range and high resolution, so that the target wave field imaging quality is relatively high.

The application relates to a time matching method and device for ground seismic P-wave converted wave data, which comprises the following steps: obtaining vertical seismic profile data, ground seismic P-wave data and ground seismic converted wave data; according to the vertical seismic profile data, solving a P-wave interval velocity curve and a S-wave interval velocity curve at a well point position; processing the vertical seismic profile data to separate out vertical seismic P-wave data and vertical seismic converted wave data; performing seismic inversion, analysis and calculation on the P-wave and S-wave interval velocity curves, the vertical seismic P-wave data and the vertical seismic converted wave data to obtain a relationship formula of P-wave velocity and S-wave velocity; combining the P-wave interval velocity curve at the well point position and ground seismic P-wave velocity data obtained by inverting the ground seismic P-wave data to further calculate ground seismic S-wave velocity; and finally converting the converted wave to P-wave two-way travel time according to the ground seismic P-wave velocity, the ground seismic S-wave velocity and the ground seismic converted wave data.

Systems and methods are presented for determining a calibrated vertical seismic profile (VSP) with a distributed acoustic sensing (DAS) system in a borehole. The methods include obtaining a density log and an acoustic slowness log for the borehole; determining a first impedance, a DAS impedance from well log (DIL) curve, from the density log and the acoustic slowness log; obtaining a VSP dataset in the borehole; for each of the plurality of gauge lengths: determining a second impedance, a DAS from vibrations (DIV) curve, from the VSP dataset for the plurality of gauge lengths, and determining a fit between the DIV curves and the DIL curve by using a misfit functional for each of a plurality of depth adjustments. The method further includes determining the calibrated VSP by applying a preferred depth adjustment to the VSP dataset.

A method for establishing a formation velocity model, comprising: acquiring a root-mean-square amplitude of each first test location in a target formation (S101); acquiring a measured vertical seismic profile velocity and a measured acoustic logging velocity of each first test location, and on the basis of the root-mean-square amplitude of each first test location and the vertical seismic profile velocity and acoustic logging velocity of each first test location, obtaining a characteristic relationship between root-mean-square amplitudes and formation velocities (S102); and on the basis of the characteristic relationship, and the root-mean-square amplitude of each second test location in the target formation, obtaining formation velocities, and on the basis of the formation velocities, establishing a formation velocity model for the target formation (S103). Further provided are an apparatus for establishing a formation velocity model, and an electronic device and a product. Thus, the accuracy of formation velocity modeling results can be improved.

This application provides a method for estimating the quality factor of a target stratum by combining distributed acoustic sensing vertical seismic profile data and surface seismic data, belonging to the field of seismic signal processing technology. The method includes: acquiring distributed acoustic sensing vertical seismic profile data, surface seismic data, and a velocity model of the target stratum; performing DAS-VSP first-arrival ray tracing on the velocity model to obtain the propagation path information of the seismic waves; performing local time-frequency transformation on the direct wave information and calculating the logarithmic spectral ratio slope of the direct wave and the source wavelet; calculating the tectonic dip field of the target stratum based on the surface seismic data; constructing a set of quality factor spectral ratio tomographic equations based on the propagation path information and the logarithmic spectral ratio slope; constructing a regularization term for the Seislet transform based on the tectonic dip field, and establishing a quality factor inversion equation based on the regularization term and the quality factor spectral ratio tomographic equations; and solving the quality factor inversion equations to obtain the quality factor field of the target stratum.